Energy performance optimisation of building envelope retrofit through integrated orthogonal arrays with data envelopment analysis. (April 2020)

• Record Type: Journal Article
• Authors: Li, Hong Xian; Li, Yan; Jiang, Boya; Zhang, Limao; Wu, Xianguo; Lin, Jingyi
• Is Part Of: Renewable energy. Volume 149(2020)
• Page Start: 1414
• Page End: 1423
• Publication Date: 2020-04
• Subjects: Building envelope retrofit -- Energy optimisation -- Orthogonal array testing -- Data envelopment analysis -- Energy simulation; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2019.10.143
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: Retrofitting building envelopes is regarded as an effective solution that can help commercial and individual investors offset daily power usage. However, it is worthwhile to explore a highly efficient approach to seek optimum retrofitting strategies. A novel hybrid approach that integrates energy simulation, Orthogonal Array Testing (OAT), and Data Envelopment Analysis (DEA) is developed in this research to discover optimal solutions for building retrofit. A commercial high-rise building is chosen as a case study, and five parameters are considered, including the exterior envelope fabric, exterior window type, sunshade type, window-to-wall ratio, and airtightness. The energy consumption is first simulated and verified as a baseline. OAT is then employed to conduct experiments and explore potential solutions to the energy optimisation problem, based on which the most efficient strategy is obtained through DEA benchmarking. The identified optimal solution is able to save an annual operation energy of 7.01 kWh/m 2, which is also cost-effective. It is also found that the window type and airtightness are significant factors with regard to the energy performance of building envelope retrofit. The study benefits designers and construction managers in determining the optimal solution of retrofitting building envelope for achieving energy-efficient building operations. Highlights: A novel hybrid approach that integrates computer simulation, OAT, and DEA is developed. It is able to discover the optimal strategy for energy saving in building retrofits. A high-rise building is used to demonstrate the applicability and effectiveness of the approach. The optimal solution is capable of saving the annual operation energy of 7.01 kWh/m 2 . Window type and airtightness are significantly important factors in energy performance saving.